Moza Saleh Hassan Almukhattin, Suhaj Abdulsalim, Suhaila Mohammed Shareef Alawadhi, Mirza R Biag, Sonal Sekhar Miraj, Noufal Abdulkader
{"title":"2 型糖尿病患者白蛋白尿的患病率和预测因素:阿拉伯联合酋长国的一项横断面研究。","authors":"Moza Saleh Hassan Almukhattin, Suhaj Abdulsalim, Suhaila Mohammed Shareef Alawadhi, Mirza R Biag, Sonal Sekhar Miraj, Noufal Abdulkader","doi":"10.2174/1573399819666221014093352","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aim: </strong>Albuminuria in Diabetes mellitus (DM) patients may lead to nephropathy and end-stage renal disease. Our study aimed to assess the prevalence of albuminuria and its associated predictors among type 2 DM patients in the United Arab Emirates.</p><p><strong>Methods: </strong>A retrospective cross-sectional study was conducted among type 2 DM patients in the diabetic clinic at Fujairah Hospital from 1st January 2016 to 30th January 2020 after getting the ethical clearance. Data were collected electronically from the health information system and analyzed using SPSS version 26. Regression analysis and ANOVA were used for inferential analysis. A P-value of ≤0.05 was considered significant.</p><p><strong>Results: </strong>Among the 200 patients included in the study, the mean age of the study population was 56 years, and the majority of them were females (71%). The prevalence of albuminuria was found to be 44%. By using regression analysis, glycated hemoglobin (HbA1c; P=0.038) and systolic blood pressure (SBP; P=0.003) were found to be predictors of albuminuria. One way ANOVA revealed that there were significant associations between the albumin levels and HbA1c (P=0.004), SBP (P= 0.002), diastolic blood pressure (DBP; P=0.028), serum creatinine (Scr) (P=0.039), and glomerular filtration rate (GFR; P=0.013).</p><p><strong>Conclusion: </strong>To the best of our knowledge, this is the first study from Fujairah emirate that explored the prevalence and predictors of albuminuria in type 2 DM patients. We found a high prevalence of albuminuria among type 2 DM patients. HbA1c and SBP directly contributed to albuminuria. To improve glycemic control, patients need to improve physical activity, reduce overweight and, adherence to medications that improve overall therapeutic outcomes.</p>","PeriodicalId":10825,"journal":{"name":"Current diabetes reviews","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prevalence and Predictors of Albuminuria in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study from the United Arab Emirates\",\"authors\":\"Moza Saleh Hassan Almukhattin, Suhaj Abdulsalim, Suhaila Mohammed Shareef Alawadhi, Mirza R Biag, Sonal Sekhar Miraj, Noufal Abdulkader\",\"doi\":\"10.2174/1573399819666221014093352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aim: </strong>Albuminuria in Diabetes mellitus (DM) patients may lead to nephropathy and end-stage renal disease. Our study aimed to assess the prevalence of albuminuria and its associated predictors among type 2 DM patients in the United Arab Emirates.</p><p><strong>Methods: </strong>A retrospective cross-sectional study was conducted among type 2 DM patients in the diabetic clinic at Fujairah Hospital from 1st January 2016 to 30th January 2020 after getting the ethical clearance. Data were collected electronically from the health information system and analyzed using SPSS version 26. Regression analysis and ANOVA were used for inferential analysis. A P-value of ≤0.05 was considered significant.</p><p><strong>Results: </strong>Among the 200 patients included in the study, the mean age of the study population was 56 years, and the majority of them were females (71%). The prevalence of albuminuria was found to be 44%. By using regression analysis, glycated hemoglobin (HbA1c; P=0.038) and systolic blood pressure (SBP; P=0.003) were found to be predictors of albuminuria. One way ANOVA revealed that there were significant associations between the albumin levels and HbA1c (P=0.004), SBP (P= 0.002), diastolic blood pressure (DBP; P=0.028), serum creatinine (Scr) (P=0.039), and glomerular filtration rate (GFR; P=0.013).</p><p><strong>Conclusion: </strong>To the best of our knowledge, this is the first study from Fujairah emirate that explored the prevalence and predictors of albuminuria in type 2 DM patients. We found a high prevalence of albuminuria among type 2 DM patients. HbA1c and SBP directly contributed to albuminuria. To improve glycemic control, patients need to improve physical activity, reduce overweight and, adherence to medications that improve overall therapeutic outcomes.</p>\",\"PeriodicalId\":10825,\"journal\":{\"name\":\"Current diabetes reviews\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current diabetes reviews\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1573399819666221014093352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current diabetes reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1573399819666221014093352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Prevalence and Predictors of Albuminuria in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study from the United Arab Emirates
Background and aim: Albuminuria in Diabetes mellitus (DM) patients may lead to nephropathy and end-stage renal disease. Our study aimed to assess the prevalence of albuminuria and its associated predictors among type 2 DM patients in the United Arab Emirates.
Methods: A retrospective cross-sectional study was conducted among type 2 DM patients in the diabetic clinic at Fujairah Hospital from 1st January 2016 to 30th January 2020 after getting the ethical clearance. Data were collected electronically from the health information system and analyzed using SPSS version 26. Regression analysis and ANOVA were used for inferential analysis. A P-value of ≤0.05 was considered significant.
Results: Among the 200 patients included in the study, the mean age of the study population was 56 years, and the majority of them were females (71%). The prevalence of albuminuria was found to be 44%. By using regression analysis, glycated hemoglobin (HbA1c; P=0.038) and systolic blood pressure (SBP; P=0.003) were found to be predictors of albuminuria. One way ANOVA revealed that there were significant associations between the albumin levels and HbA1c (P=0.004), SBP (P= 0.002), diastolic blood pressure (DBP; P=0.028), serum creatinine (Scr) (P=0.039), and glomerular filtration rate (GFR; P=0.013).
Conclusion: To the best of our knowledge, this is the first study from Fujairah emirate that explored the prevalence and predictors of albuminuria in type 2 DM patients. We found a high prevalence of albuminuria among type 2 DM patients. HbA1c and SBP directly contributed to albuminuria. To improve glycemic control, patients need to improve physical activity, reduce overweight and, adherence to medications that improve overall therapeutic outcomes.
期刊介绍:
Current Diabetes Reviews publishes frontier reviews on all the latest advances on diabetes and its related areas e.g. pharmacology, pathogenesis, complications, epidemiology, clinical care, and therapy. The journal"s aim is to publish the highest quality review articles dedicated to clinical research in the field. The journal is essential reading for all researchers and clinicians who are involved in the field of diabetes.